Full Stack Data Scientist
USA - Seattle, WA, United States
R
USD 137K-186K Senior-level Full Time
Tasks
- Apply DevSecOps access control secrets certificate management
- Build infrastructure as code automation to provision and manage resources
- Build secure container images software supply chain controls vulnerability scanning
- Create Helm charts deployment templates automation scripts
- Deploy and administer containerized applications on Kubernetes
- Design secure scalable AI ML platform capabilities
- Develop data pipelines and workflow orchestration
- Engineer infrastructure for model serving on premises and hybrid environments
- Implement CI/CD and GitOps workflows
- Implement MLOps model training experiment tracking model registry deployment monitoring
- Maintain architecture standards technical documentation runbooks
- Manage data storage relational NoSQL search graph object vector
- Perform incident response root cause analysis reliability improvements
- Productionize models optimize runtime performance reduce ML friction
- Set up observability metrics logs traces dashboards alerting
- Troubleshoot platform data networking deployment performance issues
Perks/Benefits
Skills/Tech-stack
Alerting | Ansible | ArgoCD | Artificial Intelligence | CI/CD | Certificate management | Data Pipelines | Docker | GitLab | GitOps | Grafana | Graph Databases | Helm | Image signing | Kubernetes | Kubernetes RBAC | Least Privilege | Linux | Logging | Loki | MLOps | Machine Learning | Monitoring | NoSQL | Object storage | Observability | OpenTelemetry | OpenTofu | Prometheus | Pulumi | Python | RBAC | Relational databases | SBOM | Search | Secrets management | Shell Scripting | Software Supply Chain | Software supply chain security | Supply chain security | TLS | Tempo | Terraform | Tracing | Vector Databases | Vulnerability scanning | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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